Nicolas Moitessier

5.2k citations
114 papers · 3.8k · h-index 36

Impact in

Papers in

    • Chemical Synthesis and Analysis 25
    • Protein Structure and Dynamics 14
    • DNA and Nucleic Acid Chemistry 13
    • Carbohydrate Chemistry and Synthesis 12
    • Click Chemistry and Applications 10
    • Asymmetric Synthesis and Catalysis 10

Nicolas Moitessier

112 papers receiving 3.7k citations

Peers

Nicolas Moitessier
Comparison fields: 5 of 133
  • Computational Theory and Mathematics 1.1k
  • Organic Chemistry 1.4k
  • Molecular Biology 2.5k
  • Oncology 529
  • Physical and Theoretical Chemistry 127
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Anna Vulpetti Switzerland
Paul D. Lyne United States
Hans Matter Germany
Giuseppe Ermondi Italy
Julian Blagg United Kingdom
Yipin Lu United States
Juswinder Singh United States
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Citations per field
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Citations per year

Countries citing papers authored by Nicolas Moitessier

Since Specialization
Citations

This map shows the geographic impact of Nicolas Moitessier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicolas Moitessier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Moitessier more than expected).

Fields of papers citing papers by Nicolas Moitessier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Moitessier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicolas Moitessier. The network helps show where Nicolas Moitessier may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicolas Moitessier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicolas Moitessier Line = papers co-authored together Nicolas Moitessier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007360
2 2017230
3 2008177
4 2007148
5 2020145
6 2007100
7 200992
8 201684
9 200681
10 201077
11 202162
12 200561
13 200960
14 201957
15 201755
16 200552
17 200748
18 201648
19 202047
20 200747

About Nicolas Moitessier

Nicolas Moitessier is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Oncology and Cellular and Molecular Neuroscience, having authored 114 papers that have together received 3.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), Chemical Synthesis and Analysis (25 papers), Protein Structure and Dynamics (14 papers), Peptidase Inhibition and Analysis (14 papers), DNA and Nucleic Acid Chemistry (13 papers), Carbohydrate Chemistry and Synthesis (12 papers), Click Chemistry and Applications (10 papers) and Asymmetric Synthesis and Catalysis (10 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Organic Chemistry (1.4k citations), Molecular Biology (2.5k citations), Oncology (529 citations) and Physical and Theoretical Chemistry (127 citations). Nicolas Moitessier has collaborated with scholars based in Canada, France and Switzerland. Frequent co-authors include Pablo Englebienne, Christopher R. Corbeil, Stephen Hanessian, Anthony Mittermaier, Yves Chapleur, Jessica Plescia, Éric Therrien, Johans Fakhoury, Stéphane De Cesco and Hanadi F. Sleiman. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Tetrahedron and Tetrahedron Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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